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Item Identification
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Physical Location
Data Set Info
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Spatial Info
Access Info
Distribution Info
URLs
Issues
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Catalog Details

Summary

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Short Citation
Office for Coastal Management, 2024: 2017 OCM Unmanned Aerial Systems Lidar: San Francisco Bay NERR, https://www.fisheries.noaa.gov/inport/item/51654.
Full Citation Examples

Abstract

Quantum Spatial (QSI) and PrecisionHawk (PH) collected lidar for a test site within the San Francisco Bay National Estuarine Research Reserve (SFBNERR) Rush Ranch location using an unmanned aerial system (UAS). The target area covered approximately two square miles, although approximately three square miles of data were collected. A DJI Matrice 600 hexacopter platform was used, carrying a YellowScan lidar system. The system provides 2 returns (strongest and last) with a pulse rate of 300 kHz using a 903 nm wavelength laser. Flights were conducted from September 5-7, 2017 and were flown at 50 meters above ground level.

Specifications for the collection included 30 pulses per square meter and 0.10 meter RMSE vertical accuracy in non-vegetated areas. The average first return density was over 400 points per square meter. Classified ground point density varied spatially depending on vegetation with areas of no penetration and areas with over 60 ground points per square meter.

Deliverables included the lidar point cloud in LAS/LAZ format. Data were delivered in UTM zone 10 NAD83(2011) horizontally and NAVD88 (Geoid12b) meters vertically.

Lidar point clouds were projected back to geographic coordinates for storage in the Digital Coast Data Access Viewer and the vertical datum was converted to the ellipsoid.

Distribution Information

Access Constraints:

None

Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no

longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its

limitations.

Controlled Theme Keywords

COASTAL ELEVATION, elevation, SEAFLOOR TOPOGRAPHY, TOPOGRAPHICAL RELIEF MAPS

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Extents

Geographic Area 1

-122.04416666667° W, -122.00694444444° E, 38.21916666667° N, 38.18583333333° S

Rush Ranch part of San Francisco Bay NERR.

Time Frame 1
2017-09-05 - 2017-09-10

Item Identification

Title: 2017 OCM Unmanned Aerial Systems Lidar: San Francisco Bay NERR
Short Name: 2017 SFBNERR UAS
Status: Completed
Publication Date: 2018-03-15
Abstract:

Quantum Spatial (QSI) and PrecisionHawk (PH) collected lidar for a test site within the San Francisco Bay National Estuarine Research Reserve (SFBNERR) Rush Ranch location using an unmanned aerial system (UAS). The target area covered approximately two square miles, although approximately three square miles of data were collected. A DJI Matrice 600 hexacopter platform was used, carrying a YellowScan lidar system. The system provides 2 returns (strongest and last) with a pulse rate of 300 kHz using a 903 nm wavelength laser. Flights were conducted from September 5-7, 2017 and were flown at 50 meters above ground level.

Specifications for the collection included 30 pulses per square meter and 0.10 meter RMSE vertical accuracy in non-vegetated areas. The average first return density was over 400 points per square meter. Classified ground point density varied spatially depending on vegetation with areas of no penetration and areas with over 60 ground points per square meter.

Deliverables included the lidar point cloud in LAS/LAZ format. Data were delivered in UTM zone 10 NAD83(2011) horizontally and NAVD88 (Geoid12b) meters vertically.

Lidar point clouds were projected back to geographic coordinates for storage in the Digital Coast Data Access Viewer and the vertical datum was converted to the ellipsoid.

Purpose:

Test the ability to provide lidar data from a UAS and determine if it is better able to penetrate marsh grasses.

Supplemental Information:

The final report for this data has not been received as of February 27, 2018 as not all deliverables have been generated. This metadata should be updated when the report is received.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Bare earth
None Bare ground
None Drone
None High-resolution
None Light Detection and Ranging
None UAS
None Unmanned Aerial System

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Data Presentation Form: Map (digital)
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of the Quantum Spatial, PrecisionHawk, the Office for Coastal Management, or its partners.

Data Set Credit: NOAA, Quantum Spatial, PrecisionHawk

Support Roles

Data Steward

CC ID: 728126
Date Effective From: 2017-10-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 728128
Date Effective From: 2017-10-15
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413
URL: https://www.coast.noaa.gov/
Contact Instructions:

coastal.info@noaa.gov

Metadata Contact

CC ID: 728129
Date Effective From: 2017-10-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 728127
Date Effective From: 2017-10-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1140715
W° Bound: -122.04416666667
E° Bound: -122.00694444444
N° Bound: 38.21916666667
S° Bound: 38.18583333333
Description

Rush Ranch part of San Francisco Bay NERR.

Extent Group 1 / Time Frame 1

CC ID: 1140714
Time Frame Type: Range
Start: 2017-09-05
End: 2017-09-10

Spatial Information

Spatial Resolution

Horizontal Distance: 0.05 Meter

Spatial Representation

Representations Used

Vector: Yes

Vector Representation 1

CC ID: 728145
Topology Level: Geometry Only
Point Object Present?: Yes
Point Object Count: 3133052198

Reference Systems

Reference System 1

CC ID: 1140712

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer

Data Access Constraints:

None

Data Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no

longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its

limitations.

Distribution Information

Distribution 1

CC ID: 728149
Start Date: 2019-07-01
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8467
Distributor: Office for Coastal Management (OCM) (2017-10-15 - Present)
File Name: custom download
Description:

Custom download of data with ability to change projection, datum, etc, and/or derive products.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 728151
Start Date: 2019-07-01
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8467/index.html
Distributor: Office for Coastal Management (OCM) (2017-10-15 - Present)
Description:

Bulk data in NAVD88 Geoid 12b orthometric heights. Download of LAZ files in geographic projection

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 728132
URL: https://coast.noaa.gov/dataviewer
Name: Data Access viewer
URL Type:
Online Resource

URL 2

CC ID: 728133
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8467/supplemental/2017_rush_ranch_area_m8467.kmz
Name: browse graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

Browse graphic of coverage area

Issues

Issue 1

CC ID: 728152
Issue Date: 2018-02-27
Author: Waters, Kirk
Issue:

Awaiting data report to fill out some of the details, such as exact instrument model used.

Data Quality

Horizontal Positional Accuracy:

unknown

Vertical Positional Accuracy:

Vertical Accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998) and the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2014). The statistical model compares known ground survey points (GSPs) to the closest laser point. Vertical accuracy statistical analysis uses ground survey points in open areas where the LiDAR system has a "very high probability" that the sensor will measure the ground surface and is evaluated at the 95th percentile.

For the San Francisco Bay NERR area, NOAA and San Francisco Bay NERR staff collected 62 points in non-vegetated areas for comparison. Analysis indicated a vertical RMSE of 0.047 meters.

Completeness Report:

LiDAR data has been collected and processed for all areas within the project study area.

Conceptual Consistency:

Upon receipt from vendor (Quantum Spatial), all LiDAR data was independently reviewed by staff from the NOAA Office for Coastal Management (OCM) to ensure project specifications were met. All data were inventoried for completeness and data were checked for quality, which included examining LiDAR data for errors associated with internal data consistency, model quality, and accuracy.

Lineage

Lineage Statement:

Lidar data were acquire, processed, and delivered to NOAA by Quantum Spatial and PrecisionHawk. NOAA evaluated the data and processed it to the Digital Coast standard projection and datum for distribution.

Sources

UAS lidar

CC ID: 1140709
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial Inc and Precision Hawk

Process Steps

Process Step 1

CC ID: 1140710
Description:

The LiDAR survey occurred between September 5, 2017 and September 7, 2017 using a Yellowscan laser system mounted in a DJI Matrice 600 hexacopter UAS and flown by PrecisionHawk pilots. Upon completion of data acquisition, Precision Hawk processed SBETs and raw point data into geolocated swaths. Processing tasks included GPS control computations, smoothed best estimate trajectory (SBET) calculations, kinematic corrections, and calculation of laser point position. Ground control data was collected by Precision Hawk to be used in the post-processing and calibration of the LIDAR flights. Following calibration, QSI initiated a suite of automated and manual techniques to classify the LiDAR points and create the requested deliverables. Processing methodologies were tailored for the landscape.

Classifications were as follows:

Unclassified (class 1) - Laser returns that are not included in the ground class or other vegetation classes, retained in order to avoid false vegetation classing within roads or other bare ground surfaces.

Ground (class 2) - Laser returns that are determined to be ground using automated and manual cleaning algorithms.

Low Noise (class 7) - Laser returns that are determined to be artificial points below the ground surface.

Water (class 9) - Laser returns that are determined to be water using manual cleaning techniques.

Near Ground Noise (class 14) - Laser returns that are determined to be artificial points between 0 and 20 meters above the ground surface.

High Noise (class 18) - Laser returns that are determined to be artificial points, equal to or greater than 20 meters above the ground surface.

Process Date/Time: 2017-09-07 00:00:00

Process Step 2

CC ID: 1140711
Description:

The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained Lidar elevation and intensity measurements. The data were in UTM zone 10 (NAD83 2011 Epoch 2010.0) and NAVD88 (Geoid12b) vertical meters. OCM performed the following processing to the data to make it available within the Digital Coast:

1. The data were converted from UTM to geographic coordinates.

2. The data were converted from NAVD88 (orthometric) heights to NAD83(2011) ellipsoid heights using Geoid12b grids.

The data was received without a metadata record.

Process Date/Time: 2018-02-27 00:00:00
Process Contact: Office for Coastal Management (OCM)
Source: UAS lidar

Catalog Details

Catalog Item ID: 51654
GUID: gov.noaa.nmfs.inport:51654
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2018-02-27 13:03+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2022-03-16
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16